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Paper Citation Record · LEDGER

Decomposing Prediction Mechanisms for In-Context Recall

As of 8 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2507.01414.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.01414 v2

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:57:50.562642Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

89 of 89 outbound references displayed

  • verified exact2
  • verified fuzzy47
  • unresolved38
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d63445b-9904-4aa1-9fcd-352603307b18 · outbound

This paper cites In-Context Language Learning: Architectures and Algorithms.

Decomposing Prediction Mechanisms for In-Context Recall In-Context Language Learning: Architectures and Algorithms

Reference 1

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source=pdf_text observed=2026-08-06T20:57:47.325633Z digest=sha256:305bdb546da51daf17683f5b61d970327984a939c2dfe3b625c433042ec35146

Observation 68b19d44-e34d-4448-a1b7-0f8fc71f69b8 · outbound

This paper cites Lepori, Jack Merullo, and Ellie Pavlick.

Decomposing Prediction Mechanisms for In-Context Recall Lepori, Jack Merullo, and Ellie Pavlick

Reference 2

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source=pdf_text observed=2026-08-06T20:57:47.391018Z digest=sha256:5e31a7e06a3adeec9205bfa8f0a83bb2f5ec8d50f129f777eebee2ed71afa9da

Observation c6d43768-d201-4cbb-9be7-612c124966d4 · outbound

This paper cites Zoology: Measuring and Improving Recall in Efficient Language Models.

Decomposing Prediction Mechanisms for In-Context Recall Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 3

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source=pdf_text observed=2026-08-06T20:57:47.494240Z digest=sha256:795cf630f246b1db65f23d8f3fb8b605d8da28e9d85baa6aa3436abf561c0b4f

Observation f5ac2633-72d9-4809-ba23-b5ac0b410e82 · outbound

This paper cites Copernicus, New York, NY , USA, 1996.

Decomposing Prediction Mechanisms for In-Context Recall Copernicus, New York, NY , USA, 1996

Reference 4

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source=pdf_text observed=2026-08-06T20:57:47.557374Z digest=sha256:c4bf2aa8b0e864cf53bb723d85b2242108301c17a90dbc1b3e7d411363d82509

Observation 207607ea-25dc-4828-8ae7-4bb8ce2d546f · outbound

This paper cites Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.Transactions on Machine Learning Research, 2023.

Decomposing Prediction Mechanisms for In-Context Recall Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.Transactions on Machine Learning Research, 2023

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:57:47.637617Z digest=sha256:9b04a28f2d81fdf6602ff6e7cdb9ef84a0e6f3a490fc3e17d5bb960f3e342f1e

Observation 032bf900-263b-4253-9a51-6e01fb661c56 · outbound

This paper cites Finding transformer circuits with edge pruning.

Decomposing Prediction Mechanisms for In-Context Recall Finding transformer circuits with edge pruning

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:47.729232Z digest=sha256:51507141345ac68bf1609eb91b0a4feaae71ab33a5587fd684404c9a1eee8ce4

Observation 78db4f16-32ca-47de-b375-2d4c0c16fbb0 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

Decomposing Prediction Mechanisms for In-Context Recall Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:57:47.830622Z digest=sha256:ee5fed9421b29e83f7949ed72c5b2ff0dc2879545a79fccc7e87de3508b2181c

Observation db2150c0-0f3e-41b5-8df8-7b6ffbd542bb · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-06T20:57:47.922775Z digest=sha256:b6226c7b92cd86ac4f2245e299a9582d53c2fd83bb5f82cd4a1f2fd8f5fc9ea7

Observation 8f2873f2-e3ae-4c09-a79f-3e64fb34b23e · outbound

This paper cites Toward understanding in-context vs.

Decomposing Prediction Mechanisms for In-Context Recall Toward understanding in-context vs

Reference 9

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source=pdf_text observed=2026-08-06T20:57:47.990675Z digest=sha256:8fd400b8392e2d5c78598694fb52dd47a1e3b1fb63a1172151cdccee3ad5b026

Observation 2b8c0232-67ae-42da-9f40-579c5dce449a · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-06T20:57:48.058830Z digest=sha256:84f4746daedfd6e3e1f4337562f42a944698ec3168b40526844d228263e35a77

Observation 155da576-b9f3-48bd-9e5f-055be0e4a8a8 · outbound

This paper cites Sudden drops in the loss: Syntax acquisition, phase transitions, and simplicity bias in MLMs.

Decomposing Prediction Mechanisms for In-Context Recall Sudden drops in the loss: Syntax acquisition, phase transitions, and simplicity bias in MLMs

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:48.125248Z digest=sha256:073287e3ff8abf99f11da2990514b84f7548de6c6f3e29e77538bc4e31e6d3a8

Observation b051e9bc-f5c2-4236-8f43-17bc5f1db24e · outbound

This paper cites Quantifying semantic emergence in language models, 2024.

Decomposing Prediction Mechanisms for In-Context Recall Quantifying semantic emergence in language models, 2024

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:48.199456Z digest=sha256:8a0b5b0c7fa06807773bdb00992b4a905410f7c88f8a9def461b60a53310b8e1

Observation bc162cb3-65db-437b-a29f-d57d543a9333 · outbound

This paper cites Dynamical versus bayesian phase transitions in a toy model of superposition, 2023.

Decomposing Prediction Mechanisms for In-Context Recall Dynamical versus bayesian phase transitions in a toy model of superposition, 2023

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:48.285810Z digest=sha256:bde2baf8d3dc3a1468aa4ed9f919a9ffe948527f65f0424db3596e0353cd17c8

Observation 9ace98a6-1810-4e4e-b52f-24edb86128f2 · outbound

This paper cites Unifying Grokking and Double Descent.

Decomposing Prediction Mechanisms for In-Context Recall Unifying Grokking and Double Descent

Reference 14

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:57:48.356869Z digest=sha256:fda61d868e94ffa0212b70db46494d7b8d3c420420897831d4d73c2eefdb3c5d

Observation 36919971-e03f-4af6-87ec-6f6dbf4a9630 · outbound

This paper cites Can transformers learn optimal filtering for unknown systems?IEEE Control Systems Letters, 7:3525–3530, 2023.

Decomposing Prediction Mechanisms for In-Context Recall Can transformers learn optimal filtering for unknown systems?IEEE Control Systems Letters, 7:3525–3530, 2023

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:48.421421Z digest=sha256:95b7df41e36c58ccbe458ae0f3f7f4b5be3b12477020a0e865892ad7fa5ae960

Observation d5873c6d-c0ee-4533-a4bd-ff4e6cce04e3 · outbound

This paper cites Understanding emergent abilities of language models from the loss perspective, 2025.

Decomposing Prediction Mechanisms for In-Context Recall Understanding emergent abilities of language models from the loss perspective, 2025

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:48.489563Z digest=sha256:86e4fffb339133ef633fc008ba7712eb1f2bd1ecbad40b785ab619bcb0e8f83c

Observation 6f0fa652-2942-45fe-a97e-2280ce290262 · outbound

This paper cites The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains.

Decomposing Prediction Mechanisms for In-Context Recall The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

Reference 17

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:57:48.557237Z digest=sha256:d0732f9c3a7891632516f1cc14c3a90a8d1ce17794beb53b0087ddd7e03871b1

Observation ee229cd8-fb24-4b55-9fe6-b5c160e377e9 · outbound

This paper cites A mathematical framework for transformer circuits.Transformer Circuits Thread,.

Decomposing Prediction Mechanisms for In-Context Recall A mathematical framework for transformer circuits.Transformer Circuits Thread,

Reference 18

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source=pdf_text observed=2026-08-06T20:57:48.634788Z digest=sha256:33b5d97fdef5455abab57b235614f9988d34399534a50bce1518944d8f723372

Observation d7461706-7e55-4ca8-9e43-a9e4ee485eb2 · outbound

This paper cites Predictability and surprise in large generative models.

Decomposing Prediction Mechanisms for In-Context Recall Predictability and surprise in large generative models

Reference 19

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raw_fallback, observed 2026-08-06T20:57:51.611107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:48.802653Z digest=sha256:175e85e210ec710cfdf25f6e180a3f9c49b7a60af5e31cd01009f609fb0dd870

Observation f523d299-edc4-48a9-ade2-efcce5a27bf7 · outbound

This paper cites What can transformers learn in-context? a case study of simple function classes.Advances in Neural Information Processing Systems, 35:30583–30598, 2022.

Decomposing Prediction Mechanisms for In-Context Recall What can transformers learn in-context? a case study of simple function classes.Advances in Neural Information Processing Systems, 35:30583–30598, 2022

Reference 20

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source=pdf_text observed=2026-08-06T20:57:48.874830Z digest=sha256:ce20626e77e19f88c527c0088651baa886b9c400439aacf06e4ba07b693d0f12

Observation 33e27c69-de1b-4d9d-81d4-70126a5b76c8 · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

Decomposing Prediction Mechanisms for In-Context Recall OLMo: Accelerating the Science of Language Models

Reference 21

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source=pdf_text observed=2026-08-06T20:57:48.954246Z digest=sha256:a64b538a81d8794fe4e2920ea782f9bc15f868a3a332eb2d6ca0450dba623b52

Observation c11acdc7-b915-4c30-bbee-d21ed541daf4 · outbound

This paper cites Grokking modular arithmetic.

Decomposing Prediction Mechanisms for In-Context Recall Grokking modular arithmetic

Reference 22

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source=pdf_text observed=2026-08-06T20:57:49.031244Z digest=sha256:345d2c9e340fea5bcd8de6a9c03f90aa77f0c36cdc284f65401d33679e175a79

Observation 7d6cc3ad-fdba-435e-bbe0-8ec343865c1a · outbound

This paper cites Loss landscape degeneracy drives stagewise development in transformers, 2025.

Decomposing Prediction Mechanisms for In-Context Recall Loss landscape degeneracy drives stagewise development in transformers, 2025

Reference 23

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:49.103661Z digest=sha256:fb9dab24fa41cf05091ebb5ab3e19d0e525355a7c947b9b15fea1f28ef6d9c86

Observation fd601a35-8b4c-4b53-a661-43ef27000f66 · outbound

This paper cites Neural networks and physical systems with emergent collective computational abilities.Proceedings of the national academy of sciences, 79(8):2554–2558, 1982.

Decomposing Prediction Mechanisms for In-Context Recall Neural networks and physical systems with emergent collective computational abilities.Proceedings of the national academy of sciences, 79(8):2554–2558, 1982

Reference 24

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source=pdf_text observed=2026-08-06T20:57:49.187011Z digest=sha256:374089135991eba30f9df151ba25fe5487f6446b98a9030874709723aec52017

Observation 5fbf382b-11c6-4e9f-bcfa-8a1bcefa9927 · outbound

This paper cites Task descriptors help transformers learn linear models in-context.

Decomposing Prediction Mechanisms for In-Context Recall Task descriptors help transformers learn linear models in-context

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:49.284731Z digest=sha256:c80da38acf6c70ee1bd0282b3c01e1b6018c49124158fba42db2af2fa4362fc6

Observation 7ff2b510-b71f-43d7-94ff-6aa2798a8dae · outbound

This paper cites Deep networks always grok and here is why.

Decomposing Prediction Mechanisms for In-Context Recall Deep networks always grok and here is why

Reference 26

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raw_fallback, observed 2026-08-06T20:57:51.544878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:49.292777Z digest=sha256:4242880d7a1f13338182db9e3db735273737680d13d02e9dd6cecd75c32b5efb

Observation 67e4b03f-617a-4dc8-b0a4-ce4bd50f7f8e · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:49.386295Z digest=sha256:33ff9650f7f1aff24b851948988253d4be0dbab2d0c8f0e907d1a10dff1161eb

Observation 5780ac73-d04a-4e0c-b3b4-8316f3714c72 · outbound

This paper cites Grokking as the transition from lazy to rich training dynamics.

Decomposing Prediction Mechanisms for In-Context Recall Grokking as the transition from lazy to rich training dynamics

Reference 28

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raw_fallback, observed 2026-08-06T20:57:51.515532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:49.521069Z digest=sha256:2c17e6cc4c3837b6b5649a6ce6e828ad6b469e20d4561cb8c474ef698503e2cd

Observation 1aa3af2f-3150-4b30-a59a-66594e8a73f9 · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:49.640425Z digest=sha256:e9fff37ff219d9ccabd788d9e8434cde093d2311670e090810e94f6d38c169f6

Observation 64c6aff3-b30d-44fe-abd8-6fadb4733a06 · outbound

This paper cites The local learning coefficient: A singularity-aware complexity measure, 2024.

Decomposing Prediction Mechanisms for In-Context Recall The local learning coefficient: A singularity-aware complexity measure, 2024

Reference 30

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raw_fallback, observed 2026-08-06T20:57:51.484652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:49.772445Z digest=sha256:c6c0c6162476dfadd095124c5a46f59e4f6c28e14a42b548d412c8724473bec1

Observation cca60b8a-8980-4b77-abc3-e7d778eb3db3 · outbound

This paper cites Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling.

Decomposing Prediction Mechanisms for In-Context Recall Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling

Reference 31

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local_arxiv, observed 2026-08-06T20:57:50.729788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:49.881070Z digest=sha256:cda9f9d8042747411e3082695850bbcd0fa5c1efd02eb8eb2ab8d997a4777441

Observation f77a2e13-8aeb-4532-8a80-ea132a00d750 · outbound

This paper cites Trans- formers as algorithms: Generalization and stability in in-context learning.

Decomposing Prediction Mechanisms for In-Context Recall Trans- formers as algorithms: Generalization and stability in in-context learning

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.470598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.007600Z digest=sha256:50e771c43b593068e4229f11a1825ea2a6ce2d38344e8e85d8cd1ec6afb0742e

Observation 99bfa400-d578-497d-bea8-ea8c3d4b4f5e · outbound

This paper cites Dual operating modes of in-context learning, 2024.

Decomposing Prediction Mechanisms for In-Context Recall Dual operating modes of in-context learning, 2024

Reference 33

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raw_fallback, observed 2026-08-06T20:57:51.456102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.124977Z digest=sha256:d728c44ceafb26a61176b401601e15726b673e956464734dda05234a74fdf572

Observation f38d062f-5859-480d-8a95-86e6c878fafc · outbound

This paper cites Can transformers solve least squares to high precision? InICML 2024 Workshop on In-Context Learning, 2024.

Decomposing Prediction Mechanisms for In-Context Recall Can transformers solve least squares to high precision? InICML 2024 Workshop on In-Context Learning, 2024

Reference 34

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raw_fallback, observed 2026-08-06T20:57:51.441982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.145177Z digest=sha256:c699ce221f6600b330e32f26b2327c96ed90d794a30c3fb19c8d7fd5c943367b

Observation 7b828d0f-6eb3-461a-b0e5-a0942822f9e1 · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

Decomposing Prediction Mechanisms for In-Context Recall Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 35

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no resolver link, observed 2026-08-06T20:57:50.201250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.201250Z digest=sha256:9dc4383c62ee857c653d36a5adc444c1b62d4e665dd7d65a53b031f8b12386d3

Observation 671c5f59-d0c5-47c4-ba43-fc4270979382 · outbound

This paper cites Omnigrok: Grokking beyond algorithmic data.

Decomposing Prediction Mechanisms for In-Context Recall Omnigrok: Grokking beyond algorithmic data

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.418824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.316022Z digest=sha256:86504fb640dbabf53ba5e6d6c5feb79936c5e98b1ba184887e4c30a6dcc0b61c

Observation 2688f4e1-93c3-4562-ba48-a348e8927a75 · outbound

This paper cites Decoupled weight decay regularization, 2019.

Decomposing Prediction Mechanisms for In-Context Recall Decoupled weight decay regularization, 2019

Reference 37

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no resolver link, observed 2026-08-06T20:57:50.327309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.327309Z digest=sha256:65591e71c7c3c6ca3503d8ef9f349cf9832514d0e3b2e6c71a99548a3ccc7d7d

Observation 2e1679c7-fd4d-487e-9ea8-b2e1e801596d · outbound

This paper cites Are Emergent Abilities in Large Language Models just In-Context Learning?.

Decomposing Prediction Mechanisms for In-Context Recall Are Emergent Abilities in Large Language Models just In-Context Learning?

Reference 38

Resolution
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no resolver link, observed 2026-08-06T20:57:50.362140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.362140Z digest=sha256:d6b978118eb662a9f6a0240142b5852c20cebd89f455d4cd116a02536e3d2311

Observation 0ddb44b2-94e3-4b9f-b5d3-04c049609a5a · outbound

This paper cites Dick, and Hidenori Tanaka.

Decomposing Prediction Mechanisms for In-Context Recall Dick, and Hidenori Tanaka

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.394536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.366585Z digest=sha256:567d54e6bd4faf8176870b8531af38388db70c67d5e129bb3d30307ce6da18db

Observation af9cca3c-f0ec-4dc1-9f81-3963a84a4100 · outbound

This paper cites Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking.

Decomposing Prediction Mechanisms for In-Context Recall Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.370208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.370208Z digest=sha256:7a42943ffcb3dd7a2ccf37a8bfa7d67aa7dc6966832243cb055ce9b97a821b31

Observation bb2a53ad-8667-469a-98be-b25573be7a5c · outbound

This paper cites A practical bayesian framework for backpropagation networks.Neural computation, 4(3):448–472, 1992.

Decomposing Prediction Mechanisms for In-Context Recall A practical bayesian framework for backpropagation networks.Neural computation, 4(3):448–472, 1992

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.380244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.374733Z digest=sha256:c854c906df08945965e75df6595d0b15100d7aff774a9306175502a42b8512b7

Observation 0f1e8a9f-4ec7-4a60-9e96-f23fc3968f19 · outbound

This paper cites Exact learning dynamics of in-context learning in linear transformers and its application to non-linear transformers, 2025.

Decomposing Prediction Mechanisms for In-Context Recall Exact learning dynamics of in-context learning in linear transformers and its application to non-linear transformers, 2025

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.365506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.379494Z digest=sha256:9de810cd75b3c97e1738b060d22929bad5a727bacb330e08b730975b360ba70e

Observation b811f6a1-233f-4b67-9aa6-3e190e35d328 · outbound

This paper cites Emergence in non-neural models: grokking modular arithmetic via average gradient outer product.

Decomposing Prediction Mechanisms for In-Context Recall Emergence in non-neural models: grokking modular arithmetic via average gradient outer product

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.352256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.383332Z digest=sha256:492567b9037b6398baa17f0c196a405e4a0a0667e6fb103fbcfa4d44d5f168b4

Observation 2e476f30-2f64-4823-8ab4-256fca7fa2b9 · outbound

This paper cites Hoffman, and David M.

Decomposing Prediction Mechanisms for In-Context Recall Hoffman, and David M

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.338471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.387426Z digest=sha256:a1ac6e0c7a0c1a855f138e511c62d20aa7fdcc2f76105bdb0b60ed847e2023c2

Observation 89ea9f58-4226-4de9-8aa3-64b1b117e973 · outbound

This paper cites How to generate random matrices from the classical compact groups.

Decomposing Prediction Mechanisms for In-Context Recall How to generate random matrices from the classical compact groups

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.391686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.391686Z digest=sha256:114324908808791c0938718d54e3ae02017c93044dc12b1712e0e725818d1022

Observation 000462f9-ae81-4b07-b946-d478a9b70acd · outbound

This paper cites The quantization model of neural scaling.Advances in Neural Information Processing Systems, 36, 2023.

Decomposing Prediction Mechanisms for In-Context Recall The quantization model of neural scaling.Advances in Neural Information Processing Systems, 36, 2023

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.396097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.396097Z digest=sha256:c5eaeb6986b39e4fce6df09671d9a374965553922b32b02743bea8ca5eafd3d5

Observation b818bee2-639b-4d05-9836-953ecb2326b9 · outbound

This paper cites Rethinking the role of demonstrations: What makes in-context learning work?, 2022.

Decomposing Prediction Mechanisms for In-Context Recall Rethinking the role of demonstrations: What makes in-context learning work?, 2022

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.314342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.399865Z digest=sha256:31267d158364d4877d9b1670a4127c10708fc1e7a3517ca6448bd72b332dccca

Observation de8c6695-0166-46fa-bb2c-b0af4bfa9530 · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:57:51.301004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.404218Z digest=sha256:99aa0bcbe50ae0ad5fa4d371c306379d843b1e96474323318e4eee43110abe63

Observation 12f57399-d789-4112-9fbb-12097e4db8c2 · outbound

This paper cites Grokking mod- ular arithmetic can be explained by margin maximization.

Decomposing Prediction Mechanisms for In-Context Recall Grokking mod- ular arithmetic can be explained by margin maximization

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.286523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.408153Z digest=sha256:6c58c809f9c8a6da926b5e6543931977bf000d05169b228eee91710c0681c293

Observation c4136913-72b4-4aa7-80dc-acff20b83f9c · outbound

This paper cites Transformers can do bayesian inference, 2024.

Decomposing Prediction Mechanisms for In-Context Recall Transformers can do bayesian inference, 2024

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.272974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.412570Z digest=sha256:ab31b2c737b95a11612dba372fb933451c53d4d991237080a91f48db4ad036d1

Observation 4afa61df-3135-4f40-9fbe-3d2fc9b9d5c5 · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:57:51.260246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.416531Z digest=sha256:b2fcd3530032e268bc693c819e56e42240d91fef3f051eaf8aeb532d3a508466

Observation 39032d8a-d2b7-44af-8ad3-b2e3b7d80178 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

Decomposing Prediction Mechanisms for In-Context Recall Progress measures for grokking via mechanistic interpretability

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.247422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.420860Z digest=sha256:8f3e4389dfef180e3f01de56764b229596b6428a21613877590709f75687ecd8

Observation 5cba795c-5d46-425e-8f06-e0ed8037d815 · outbound

This paper cites Differential learning kinetics govern the transition from memorization to generalization during in-context learning, 2024.

Decomposing Prediction Mechanisms for In-Context Recall Differential learning kinetics govern the transition from memorization to generalization during in-context learning, 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.233720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.424811Z digest=sha256:0cfc47be0fc2de87e66925b28ddbbab79cb11f03a751f03e18898783d37dcccc

Observation dfae44a1-5038-4732-a3fd-6f2bae8a87f4 · outbound

This paper cites Lee, and Alberto Bietti.

Decomposing Prediction Mechanisms for In-Context Recall Lee, and Alberto Bietti

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.428875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.428875Z digest=sha256:d25ecd2aed5848d44daa3a76daf4beaafb54f84aadfa6677874502f33c5358f7

Observation fc02881c-073f-4447-a58a-c6529843e325 · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:57:51.210591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.433106Z digest=sha256:00a7aebdb14eed0ff7e2dff46d674bd7903e94181c135fe6bda6011cbb868793

Observation 723e21ed-5bbb-494a-ba82-8819d30f6d07 · outbound

This paper cites In-context Learning and Induction Heads.

Decomposing Prediction Mechanisms for In-Context Recall In-context Learning and Induction Heads

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.436894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.436894Z digest=sha256:bfaf7fe8e8253f076dad82e59f5890f83a9828b76f0d5ed569b2816e41f70c35

Observation 804ec645-8b21-45a2-8494-2d2f930f556e · outbound

This paper cites What in-context learning "learns" in-context: Disentangling task recognition and task learning, 2023.

Decomposing Prediction Mechanisms for In-Context Recall What in-context learning "learns" in-context: Disentangling task recognition and task learning, 2023

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.198025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.440839Z digest=sha256:be2cba571e207f7cfbc8aa771a5b1a5f2e19000a69ea6fdba3effe9d6d03a631

Observation a31572cc-2f52-44f7-99eb-3f535e10d3d3 · outbound

This paper cites In-context learning through the bayesian prism, 2024.

Decomposing Prediction Mechanisms for In-Context Recall In-context learning through the bayesian prism, 2024

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.185916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.444624Z digest=sha256:157fdfdd062e57974cc0dde619adecb5d42b8277abafb39eb89b42906480d8b6

Observation 30793b95-aaa8-4e66-ab42-9d3ac3c85cb2 · outbound

This paper cites Competition dynamics shape algorithmic phases of in-context learning, 2025.

Decomposing Prediction Mechanisms for In-Context Recall Competition dynamics shape algorithmic phases of in-context learning, 2025

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.173103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.448214Z digest=sha256:2dfe73da92e220dd60a37a46e3129fe433b72a3da9aac723989580e2f87c5a32

Observation 56e50786-2ff2-4886-9bf7-18a2bb1b7030 · outbound

This paper cites Gradient starvation: A learning proclivity in neural networks.Advances in Neural Information Processing Systems, 34:1256–1272, 2021.

Decomposing Prediction Mechanisms for In-Context Recall Gradient starvation: A learning proclivity in neural networks.Advances in Neural Information Processing Systems, 34:1256–1272, 2021

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.160478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.451939Z digest=sha256:00862b45e4aefee4449c60087917579274b1c41fe4fd882f4a6829d91a3059df

Observation 1bd7c59a-1a78-4b51-b1df-733fd66ea5f2 · outbound

This paper cites Multi-scale feature learning dynamics: Insights for double descent.

Decomposing Prediction Mechanisms for In-Context Recall Multi-scale feature learning dynamics: Insights for double descent

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.146280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.456276Z digest=sha256:329602c07e516a8c8bfe871f76cfd4c61ba8f38f6617f655ab7d1f3b3b4b0106

Observation 0cfea553-1a99-4ff6-9f62-f81d01c3d2a3 · outbound

This paper cites Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets.

Decomposing Prediction Mechanisms for In-Context Recall Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.459920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.459920Z digest=sha256:4362fd9d8dbd02f50921dee6ed012a7a10e2d68e5e1c6398de64c1630e685f00

Observation 1333739d-8086-4ea3-b2b4-c1b15760c450 · outbound

This paper cites Grokking at the Edge of Numerical Stability.

Decomposing Prediction Mechanisms for In-Context Recall Grokking at the Edge of Numerical Stability

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.463997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.463997Z digest=sha256:5a3c6364c044dd290ec957dba70ffe9583bcf33803819f9fb6862ad77c65f463

Observation 0788a3e0-1ddb-4c08-8369-c2c6cdd85b21 · outbound

This paper cites Transformers on markov data: Constant depth suffices.

Decomposing Prediction Mechanisms for In-Context Recall Transformers on markov data: Constant depth suffices

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.131965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.469390Z digest=sha256:a7512027a52a203ff232d3c4ec85eb4d1b5de9a4f4bc481b524754d877c0d027

Observation c138f444-e289-4a3a-955f-a983ca9ba18d · outbound

This paper cites Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression.Advances in Neural Information Processing Systems, 36, 2024.

Decomposing Prediction Mechanisms for In-Context Recall Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression.Advances in Neural Information Processing Systems, 36, 2024

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.119108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.473168Z digest=sha256:2b7cb64e2a92b1a3223eec540bca6b2449a595609bdc18ead829ac1dfd7ca0cc

Observation d8816f7d-d4f4-44ca-93a9-b11c684ea924 · outbound

This paper cites The mechanistic basis of data dependence and abrupt learning in an in-context classification task, 2023.

Decomposing Prediction Mechanisms for In-Context Recall The mechanistic basis of data dependence and abrupt learning in an in-context classification task, 2023

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.105229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.477710Z digest=sha256:88188c4618d51a5982e30b055a8bcc6fcb8d8ff108e784e42c0966ff989acd12

Observation 3b117b78-3ca9-46d5-be1f-4c625d258c31 · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:57:51.092216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.482042Z digest=sha256:478f00cebae471d9118bf0be484d41c25e7f7bbee0cf20b2fb5ec4d21964daef

Observation d0be3b76-8c60-4dca-9dfc-0f69584c4c0b · outbound

This paper cites Are emergent abilities of large language models a mirage?Advances in Neural Information Processing Systems, 36, 2024.

Decomposing Prediction Mechanisms for In-Context Recall Are emergent abilities of large language models a mirage?Advances in Neural Information Processing Systems, 36, 2024

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.079229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.485665Z digest=sha256:db250e71da20a4d9d4058d3090d4b125b90a6b5b796e6dcbea799439e1864cad

Observation c0b2b5b6-35a6-4236-92a8-1a58e2b0ade3 · outbound

This paper cites I preliminaries.

Decomposing Prediction Mechanisms for In-Context Recall I preliminaries

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.064250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.489660Z digest=sha256:d9031b11c91dfc9b978946c5423a61d8a62044c20814e048c610f21690270de0

Observation 242a903a-fc53-44cc-a146-c3c17f33ccab · outbound

This paper cites The pitfalls of simplicity bias in neural networks.Advances in Neural Information Processing Systems, 33:9573–9585, 2020.

Decomposing Prediction Mechanisms for In-Context Recall The pitfalls of simplicity bias in neural networks.Advances in Neural Information Processing Systems, 33:9573–9585, 2020

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.051341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.493585Z digest=sha256:e40117eaee5d24a5f07b8f3e9cf79c8e5f40a191484e07aeed0ba7994ad1fef1

Observation 9c6ec1f4-3189-431b-867b-8c21c43043e3 · outbound

This paper cites Singh, Ted Moskovitz, Sara Dragutinovic, Felix Hill, Stephanie C.

Decomposing Prediction Mechanisms for In-Context Recall Singh, Ted Moskovitz, Sara Dragutinovic, Felix Hill, Stephanie C

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.037428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.497528Z digest=sha256:bc6adccbc0273c046b3212ae4fa5268ef5a00712c2a462d48495807338b3ce58

Observation 2c1c3dee-e0cc-4819-bf45-53af02abf929 · outbound

This paper cites Singh, Ted Moskovitz, Felix Hill, Stephanie C.

Decomposing Prediction Mechanisms for In-Context Recall Singh, Ted Moskovitz, Felix Hill, Stephanie C

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.024189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.500971Z digest=sha256:231416c46cca7cd16beb0c39aa00ea90f5b9a36a10468ec282084d35fdbf1bbd

Observation a103b708-0a07-4d13-bc18-0ea7a8e788ec · outbound

This paper cites The implicit bias of gradient descent on separable data.Journal of Machine Learning Research, 19:1–57, 2018.

Decomposing Prediction Mechanisms for In-Context Recall The implicit bias of gradient descent on separable data.Journal of Machine Learning Research, 19:1–57, 2018

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:51.010579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.504540Z digest=sha256:f632445d9a7913ae363a0ad2c03ffb19f9e4b86215146d3282442588a99eb7e7

Observation c891c0cf-7476-4b69-955f-2c8bae446104 · outbound

This paper cites Transformers learn in-context by gradient descent.

Decomposing Prediction Mechanisms for In-Context Recall Transformers learn in-context by gradient descent

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.508348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.508348Z digest=sha256:c55df11058de8b5930a6070c8f8b53d902cd2cb4c5b51f8b12ad2a9b22ac4c63

Observation dfe94556-f4bf-4227-9d1b-a21d3519d5a1 · outbound

This paper cites Label words are anchors: An information flow perspective for understanding in-context learning, 2023.

Decomposing Prediction Mechanisms for In-Context Recall Label words are anchors: An information flow perspective for understanding in-context learning, 2023

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.988282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.512389Z digest=sha256:224fa934b42b2176d60bc6a0efb219defe311beb8179f6648f0a5aaede7a2530

Observation 7d418978-8f03-473f-8a2a-27b221e519d0 · outbound

This paper cites Investigating the pre-training dynamics of in-context learning: Task recognition vs.

Decomposing Prediction Mechanisms for In-Context Recall Investigating the pre-training dynamics of in-context learning: Task recognition vs

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.975604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.516098Z digest=sha256:8b368c25879e7de3aaf0724105929dc9836a67a5cdbe0e771489eb81b13bd6a2

Observation 31f1e21a-5422-4bd8-9538-0f6d41977210 · outbound

This paper cites Cambridge monographs on applied and computational mathematics ; 25.

Decomposing Prediction Mechanisms for In-Context Recall Cambridge monographs on applied and computational mathematics ; 25

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.962394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.519925Z digest=sha256:1782e7f33b4c00b48ef8c0350b543e799ac1fc2e32a12f36053b94cd43491486

Observation 7f2b0d05-542c-44dd-9d49-b6bb9ca53394 · outbound

This paper cites Emergent abilities of large language models.Transactions on Machine Learning Research, 2022.

Decomposing Prediction Mechanisms for In-Context Recall Emergent abilities of large language models.Transactions on Machine Learning Research, 2022

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.523610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.523610Z digest=sha256:4cea4593bd9ada92d20245a72db122c98a69226930c181718f35c16bb3e61016

Observation 89e7c1c8-f9d5-48f1-8ca4-3c063d7021c9 · outbound

This paper cites Symbol tuning improves in-context learning in language models.

Decomposing Prediction Mechanisms for In-Context Recall Symbol tuning improves in-context learning in language models

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.938971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.527132Z digest=sha256:3e7da8e0456741ed98c6f2eac33187dd40efdf36e4f8f3082ac2e6de0c046b46

Observation c235e701-5b2f-423d-9b9b-ab38e5b64c8a · outbound

This paper cites Larger language models do in-context learning differently, 2023.

Decomposing Prediction Mechanisms for In-Context Recall Larger language models do in-context learning differently, 2023

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.924799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.530600Z digest=sha256:fe2708c7c0615be29548bba697273a90c3f3a26424c9fd73af5d1cb3f86b5a99

Observation 4f03d646-60e7-4d00-bb02-6a3de0a0c218 · outbound

This paper cites The learnability of in-context learning, 2023.

Decomposing Prediction Mechanisms for In-Context Recall The learnability of in-context learning, 2023

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.909234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.534207Z digest=sha256:2ca50e2113f4fa09ab3e9e7ff4509471c8c5c4a8f76cde4742db54b2501479d6

Observation 443613bf-e32b-4658-8855-fc8e5a97ae2c · outbound

This paper cites Bartlett.

Decomposing Prediction Mechanisms for In-Context Recall Bartlett

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.893332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.538652Z digest=sha256:8f62c854f4579de31020ab218c8775144be09a989184273847217cecf56d2685

Observation 9aa4c803-6d33-4dd4-81a1-bd1920753f32 · outbound

This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

Decomposing Prediction Mechanisms for In-Context Recall An Explanation of In-context Learning as Implicit Bayesian Inference

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:50.542232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:50.542232Z digest=sha256:b5074cd30292677b7ec275a0c43b470f0eea527d020d6ab29fc08eb0b1cc25bb

Observation 8626323f-a16e-49be-9356-71764c22750d · outbound

This paper cites Which attention heads matter for in-context learning?, 2025.

Decomposing Prediction Mechanisms for In-Context Recall Which attention heads matter for in-context learning?, 2025

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.879642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.545964Z digest=sha256:b733f971d8ccd362b349fa4879bb50838e10e6fcef5dc99db893416ebba3f44e

Observation ed80c7c0-bf72-4ce1-9cc5-baa668260520 · outbound

This paper cites Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization.

Decomposing Prediction Mechanisms for In-Context Recall Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:57:50.607902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.549945Z digest=sha256:88d46a134e3588ec96dc6792633848b3b0b254b7f06690d73f8e8b63b5e86702

Observation c3428b09-90c6-4d74-81e6-aecdb2189132 · outbound

This paper cites Singh, Peter E.

Decomposing Prediction Mechanisms for In-Context Recall Singh, Peter E

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:50.865767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.554227Z digest=sha256:bc91a53a4ca075fede960efc2946f8f358d1e0d87134c4ecf84eca9d35a154aa

Observation e23d4f56-2c7b-436e-a12d-ccf86e2ee14d · outbound

This paper cites grokking.

Decomposing Prediction Mechanisms for In-Context Recall grokking

Reference 87

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T20:57:50.850211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.558118Z digest=sha256:f5f992929e7e1e9c0aa18a83b1f533264cdb6202a129209f1c494b98345d724d

Observation 7cf24358-5e8d-4b23-a0b3-ad11780b5920 · outbound

This paper cites tiny”, “small.

Decomposing Prediction Mechanisms for In-Context Recall tiny”, “small

Reference 89

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T20:57:50.836438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:57:50.562642Z digest=sha256:0b33e6c4fec2e639349513fd1a27beadf515c4e4471b0511b78994a3eee466b4

Observation 1d1e9eaf-2462-474c-ba00-9998e195de43 · outbound

This paper cites an unresolved cited work.

Decomposing Prediction Mechanisms for In-Context Recall Unresolved cited work

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:48.723869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:48.723869Z digest=sha256:50e43313482e41295edb665874ce52574f7334d5374fae2bffb1cc8fb0f9ed65

Pith citing papers

No inbound Pith citation observations are available.